Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: July 15, 2022
Abstract
Episodic
memory
formation
and
recall
are
complementary
processes
that
rely
on
opposing
neuronal
computations
in
the
hippocampus.
How
this
conflict
is
resolved
hippocampal
circuits
unclear.
To
address
question,
we
obtained
vivo
whole-cell
patch-clamp
recordings
from
dentate
gyrus
granule
cells
head-fixed
mice
trained
to
explore
distinguish
between
familiar
novel
virtual
environments.
We
find
consistently
show
a
small
transient
depolarisation
upon
transition
environment.
This
synaptic
novelty
signal
sensitive
local
application
of
atropine,
indicating
it
depends
metabotropic
acetylcholine
receptors.
A
computational
model
suggests
response
may
bias
cell
population
activity,
which
can
drive
downstream
attractor
networks
new
state,
favouring
switch
when
faced
with
novelty.
Such
novelty-driven
enable
flexible
encoding
memories
while
preserving
stable
retrieval
ones.
PLoS Computational Biology,
Journal Year:
2020,
Volume and Issue:
16(9), P. e1008198 - e1008198
Published: Sept. 15, 2020
Calcium
imaging
with
fluorescent
protein
sensors
is
widely
used
to
record
activity
in
neuronal
populations.
The
transform
between
neural
and
calcium-related
fluorescence
involves
nonlinearities
low-pass
filtering,
but
the
effects
of
transformation
on
analyses
populations
are
not
well
understood.
We
compared
spikes
matched
behaving
mice.
report
multiple
discrepancies
performed
two
types
data,
including
changes
single-neuron
selectivity
population
decoding.
These
were
only
partially
resolved
by
spike
inference
algorithms
applied
fluorescence.
To
model
relation
spiking
we
simultaneously
recorded
from
individual
neurons.
Using
these
recordings
developed
a
transforming
trains
synthetic-imaging
data.
recapitulated
differences
analyses.
Our
analysis
highlights
challenges
relating
electrophysiology
suggests
forward
modeling
as
an
effective
way
understand
The
neurophysiology
of
cells
and
tissues
are
monitored
electrophysiologically
optically
in
diverse
experiments
species,
ranging
from
flies
to
humans.
Understanding
the
brain
requires
integration
data
across
this
diversity,
thus
these
must
be
findable,
accessible,
interoperable,
reusable
(FAIR).
This
a
standard
language
for
metadata
that
can
coevolve
with
neuroscience.
We
describe
design
implementation
principles
data.
Our
open-source
software
(Neurodata
Without
Borders,
NWB)
defines
modularizes
interdependent,
yet
separable,
components
language.
demonstrate
NWB's
impact
through
unified
description
modalities
species.
NWB
exists
an
ecosystem,
which
includes
management,
analysis,
visualization,
archive
tools.
Thus,
enables
reproduction,
interchange,
reuse
More
broadly,
generally
applicable
enhance
discovery
biology
FAIRness.
